Dup15q 2015
Recent articles
Brain-wave patterns distinguish dup15q syndrome
Children with an extra copy of the 15q11-13 chromosomal region, the second most common genetic abnormality in people with autism, have unusually strong brain waves called beta oscillations. The preliminary findings, presented Friday at the Dup15q Alliance Scientific Meeting in Orlando, Florida, suggest that beta oscillations could distinguish children with dup15q syndrome from those with other forms of autism.
Brain-wave patterns distinguish dup15q syndrome
Children with an extra copy of the 15q11-13 chromosomal region, the second most common genetic abnormality in people with autism, have unusually strong brain waves called beta oscillations. The preliminary findings, presented Friday at the Dup15q Alliance Scientific Meeting in Orlando, Florida, suggest that beta oscillations could distinguish children with dup15q syndrome from those with other forms of autism.
Dispatches from the 2015 Dup15q Alliance Scientific Meeting
These short reports from our reporter, Nicholette Zeliadt, give you the inside scoop on developments at the 2015 Dup15q Alliance Scientific Meeting.
Dispatches from the 2015 Dup15q Alliance Scientific Meeting
These short reports from our reporter, Nicholette Zeliadt, give you the inside scoop on developments at the 2015 Dup15q Alliance Scientific Meeting.
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Insights on suicidality and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 8 December.
Insights on suicidality and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 8 December.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.